Nobody Asked What the Public Actually Thinks About AI and Water. So I Did. [1/2]
(don't) Waste Water! | Water Tech to Solve the World

Nobody Asked What the Public Actually Thinks About AI and Water. So I Did. [1/2]

B2中高级2026年5月1日14分钟
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Every analyst, every think tank, every consulting deck has an opinion on AI's water footprint (and overall on AI and Water) But nobody bothered to ask the people actually watching the videos, posting the comments, and shaping the narrative. You'd need to be mad to do that, right? So I read 2,540 of them. 😅 Across 9 of the most-watched YouTube videos on AI water consumption, and overall on AI and Water. Here's what I found: 1️⃣ The public is right about geography. Boardman, Oregon...

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第 1 句,共 12 句 · 0:00

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A number engineered to make you stop worrying.

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B2

B2 · 中高级

能看懂电视新闻就会觉得轻松

A1 26%A2 37%B1 18%B2 16%C1 3%
  • 81% 的单词在 B1 或更简单的水平。
  • 每分钟 165 词:自然语速,偏快。
  • 整集共有 91 个较难的单词(B2 及以上)。

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0:00

Sam Altman says Chad GPT uses about one fifteenth of a teaspoon of water per query. A number engineered to make you stop worrying. Morgan Stanley says AI is going to drink one trillion liters by 2028, which is this time a number engineered to make you start worrying.

0:17

Now both are wrong in opposite directions because Altman leaves out training, indirect cooling and true ultra water needed to make the chips. while Morgan Stanley counts power plants throughput that mostly returns to the river. So that's two partial numbers, two selectively framed headlines and somewhere in between

0:36

sits a real question almost nobody's asking, which is what the actual humans, not the executives, think when this lands in their feed. No, it was stupid. You don't even know what stupid it is.

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